Purpose: Fashion supply chain research has identified two important issues of sustainability management and risk management. However, investigation of these issues is relatively sparse and has primarily been independent with little combinatory research, despite their important interrelationships. This paper addresses that gap by critically reviewing extant literature to synthesise important sustainability risk issues in fashion supply chains and proposing an empirical research agenda. Practical Implications: This paper highlights important issues in sustainability risk management for fashion supply chains and presents an agenda for future empirical research.Originality/value: This paper contributes by providing a combinatory synthesis of sustainability and risk management in fashion supply chain literature and an agenda for future empirical research.

PurposeWith the ever-expanding online shopping, electronic word-of-mouth (eWOM) has become a significant factor affecting the consumer decision-making behaviour. This is specially the case when considering Generation Y (Millennials), who are old enough to be independent buyers and young to be almost immersed in online living. This article aims to assess the impact of eWOM on purchase intention by developing a conceptual model of hypotheses encompassing a multitude of factors that may be associated with this relationship.Design/methodology/approachThe researcher investigates what factors impact eWOM credibility and make the consumer may adopt it when making a purchase. To examine our research model, a quantitative approach is employed for this purpose using a sample through online survey from Thailand – where there is a large number portion Generation Y consumer base.FindingsIt was found that source style as a visual attribute information is the most significant factor that may impact eWOM credibility in addition to source credibility, argument quality and source homophily, respectively.Practical implicationsFrom a practical point of view, it helps firms to understand what needs to be taken into consideration when building their marketing strategy.Originality/valueThis is believed to add significant insights into the eWOM literature by identifying its route of impact toward the purchase intention on Generation Y.

PurposeThe purpose of this paper is to investigate the knowledge gaps in the extant literature on the role of ambidexterity and coopetition in designing resilient fashion supply chains (RFSCs), and to develop a contextual framework for effective decision-making to enable practitioners to enhance their supply chain resilience.Design/methodology/approachThe study adopts a novel multi-evidence-based approach comprising Denyer and Tranfield's (2009) systematic literature review (SLR) with context, intervention, mechanism and outcome (CIMO) logic, text mining and network analysis. The approach constitutes a rigorous methodology that cross-validates results and ensures the reliability and validity of findings.FindingsThe authors identified key knowledge gaps in the literature and explored the main contribution categories (e.g. conceptual understandings, operational impacts, use of theories and frameworks). Subsequently, we developed a contextual framework of ambidextrous coopetition to design RFSCs. Finally, an empirical research agenda is proposed with the five research directions to address the gap and take forward the notion of ambidextrous coopetition and RFSCs.Research limitations/implicationsThe multi-evidence-based approach is a structured and triangulated SLR approach and thus lacks empirical study.Practical implicationsThis research proposes a contextual framework of ambidextrous coopetition that can be used by fashion companies to embed resilience into their structures and operations. This research also presents an agenda for the future empirical research.Originality/valueThis paper contributes by providing a combinatory synthesis on the role of ambidexterity and coopetition in designing RFSCs. This paper introduces a novel methodological triangulation for improving the quality and validity of SLRs. It identifies significant knowledge gaps and defines directions for future research.

The Internet of Things (IoT) has realised the fourth industrial revolution concept; however, its applications in the manufacturing industry are relatively sparse and primarily investigated without contextual peculiarities. Our research undertakes an intricate critical review to investigate significant aspects of IoT applications in the manufacturing Industry 4.0 perspective to address this gap. We adopt a systematic literature review approach by Denyer and Tranfield (2009) to carry out critical analyses that help develop future research domains based on empirical studies. We describe key knowledge gaps in the existing literature and empirical studies by exploring the main contribution categories and finding six critical differences between traditional and manufacturing Industry 4.0 and 10 enablers and 11 challenges of IoT applications. Finally, an agenda for future research is proposed with 11 research domains to focus on the recognised gaps.

There has been a continuously growing trend in international commercial air traffic, with the exception of COVID-19 crises; however, after the recovery, the trend is expected to even sharpen. The consequences of released emissions and by-products in the environment range from human health hazards, low air quality and global warming. This study is aimed to investigate the role of aviation emissions in global warming. For this purpose, data on different variables including global air traffic and growth rate, air traffic in different continents, total global CO2 emissions of different airlines, direct and indirect emissions, air traffic in various UK airports and fuel-efficient aircraft was collected from various sources like EU member states, Statista, Eurostat, IATA, CAA and EUROCONTROL. The results indicated that in 2019, commercial airlines carried over 4.5 × 109 passengers on scheduled flights. However, due to the COVID-19 pandemic in 2020, the global number of passengers was reduced to 1.8 × 109, representing around a 60% reduction in air traffic. Germany was the largest contributor to greenhouse gas (GHG) from the EU, releasing 927 kt of emissions in 3 years. In the UK, Heathrow airport had the highest number of passengers in 2019 with over 80 million, and the study of monthly aircraft movement revealed that Heathrow Airport also had the highest number of EU and International flights, while Edinburgh had the domestic flights in 2018. These research findings could be beneficial for airlines, policymakers and governments targeting the reduction of aircraft emissions. Graphical abstract